Pub Date : 2022-04-18DOI: 10.1080/21681015.2022.2059793
Neda Attarmoghaddam, Alireza Khorakian, Amir Mohammad Fakoor Saghih
ABSTRACT While prior researches were examined new product development process in general and in developed countries, this study aims to propose some solutions for improving this process time through developing a dynamic model and factors affecting each stage of this process in knowledge-based companies in a developing country. Therefore, a system dynamic model has been built by employing the combination of DEMATEL and dynamic approach to simulate the effect of various factors on the time of the new product development process. After simulating the model, the best scenario across the various scenarios for improving the new product development process time was improving productivity. Based on the preferred scenario, some solutions are provided. By implementing the model and the method used in this research, managers could examine their company’s new product development process time and identify those areas that require improvement to increase their speed of new product development process time. GA
{"title":"Employing system dynamic and DEMATEL for improving the new product development time in knowledge-based companies","authors":"Neda Attarmoghaddam, Alireza Khorakian, Amir Mohammad Fakoor Saghih","doi":"10.1080/21681015.2022.2059793","DOIUrl":"https://doi.org/10.1080/21681015.2022.2059793","url":null,"abstract":"ABSTRACT While prior researches were examined new product development process in general and in developed countries, this study aims to propose some solutions for improving this process time through developing a dynamic model and factors affecting each stage of this process in knowledge-based companies in a developing country. Therefore, a system dynamic model has been built by employing the combination of DEMATEL and dynamic approach to simulate the effect of various factors on the time of the new product development process. After simulating the model, the best scenario across the various scenarios for improving the new product development process time was improving productivity. Based on the preferred scenario, some solutions are provided. By implementing the model and the method used in this research, managers could examine their company’s new product development process time and identify those areas that require improvement to increase their speed of new product development process time. GA","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"39 1","pages":"521 - 534"},"PeriodicalIF":4.5,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42202181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-13DOI: 10.1080/21681015.2022.2063427
Y. Ou, Yu-Zhen Zhou, Chen-Wen Fang
ABSTRACT This study seeks to explore the road-crossing behavior of elderly pedestrians and whether time cues can effectively reduce the risk of crossing. Past studies on road-crossing decision-making mostly focus on the increased risk in older pedestrians due to diminished cognitive functions but often overlooked the impact of providing information about time. Therefore, this study examined the effects of assistive systems providing two different types of time information, namely, remaining time and arriving time, on road-crossing in older pedestrians under different traffic situations. The results showed that both assistive systems reduced the road-crossing response time and collision rate in older adults. In general, the “remaining time system” was more effective, especially in the combination of short vehicle gap and high vehicle speed. Remaining time was found to be more intuitive for road-crossing decision-making. These findings contribute to effective ways to reduce the risk of road crossing in elderly pedestrians.
{"title":"Effect of different assistive systems on elderly pedestrians’ road-crossing decisions","authors":"Y. Ou, Yu-Zhen Zhou, Chen-Wen Fang","doi":"10.1080/21681015.2022.2063427","DOIUrl":"https://doi.org/10.1080/21681015.2022.2063427","url":null,"abstract":"ABSTRACT This study seeks to explore the road-crossing behavior of elderly pedestrians and whether time cues can effectively reduce the risk of crossing. Past studies on road-crossing decision-making mostly focus on the increased risk in older pedestrians due to diminished cognitive functions but often overlooked the impact of providing information about time. Therefore, this study examined the effects of assistive systems providing two different types of time information, namely, remaining time and arriving time, on road-crossing in older pedestrians under different traffic situations. The results showed that both assistive systems reduced the road-crossing response time and collision rate in older adults. In general, the “remaining time system” was more effective, especially in the combination of short vehicle gap and high vehicle speed. Remaining time was found to be more intuitive for road-crossing decision-making. These findings contribute to effective ways to reduce the risk of road crossing in elderly pedestrians.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"117 - 125"},"PeriodicalIF":4.5,"publicationDate":"2022-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43088437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-08DOI: 10.1080/21681015.2022.2059791
D. Dalalah, U. Ojiako, K. Alkhaledi, Alasdair Marshall
ABSTRACT The relationship between product flow times and manufacturing system status is complex. This limits use of simple analytical functions for job shop manufacturing due date assigning, especially when dealing with orders involving multiple-resource manufacturing systems in receipt of random orders of different process plans. Our approach involves developing a Support Vector Machine classifier to articulate job shop manufacturing due date assigning in heterogeneous manufacturing environments. The emergent model allows not only for the complex relationships between flowtimes and manufacturing system status, but also for the prediction of random order flowtime of manufacturing systems with multiple resources. Our findings also suggest that service levels play a major role in negotiated due dates and eventual customer propensity to place manufacturing orders. In emphasizing negotiated due dates as against exogenous assigned due dates, the study focuses scholarly attention toward the need for participative, open and inclusive due date assignments. Graphical abstract
{"title":"A support vector machine model for due date assignment in manufacturing operations","authors":"D. Dalalah, U. Ojiako, K. Alkhaledi, Alasdair Marshall","doi":"10.1080/21681015.2022.2059791","DOIUrl":"https://doi.org/10.1080/21681015.2022.2059791","url":null,"abstract":"ABSTRACT The relationship between product flow times and manufacturing system status is complex. This limits use of simple analytical functions for job shop manufacturing due date assigning, especially when dealing with orders involving multiple-resource manufacturing systems in receipt of random orders of different process plans. Our approach involves developing a Support Vector Machine classifier to articulate job shop manufacturing due date assigning in heterogeneous manufacturing environments. The emergent model allows not only for the complex relationships between flowtimes and manufacturing system status, but also for the prediction of random order flowtime of manufacturing systems with multiple resources. Our findings also suggest that service levels play a major role in negotiated due dates and eventual customer propensity to place manufacturing orders. In emphasizing negotiated due dates as against exogenous assigned due dates, the study focuses scholarly attention toward the need for participative, open and inclusive due date assignments. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"68 - 85"},"PeriodicalIF":4.5,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42345165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-30DOI: 10.1080/21681015.2022.2059792
Krishna Chaitanya Mallampalli, Debayan Dhar, Swati Pal
ABSTRACT In India, the cashew nut shelling (CNS) is an important task in all small-scale cashew nut processing industries. Workers engaged in CNS task commonly operate pedal-operated cashew nut sheller (CNSR) in awkward standing posture that can contribute to work-related musculoskeletal disorders (MSDs). However, investigations from an ergonomics perspective have barely been conducted in Indian small-scale cashew nut processing industries. Therefore, the present study aims to evaluate the postural workload in CNS task to propose an ergonomic design intervention in small-scale cashew nut processing industries. A combination of methods, including posture recording, postural assessment, interviews, questionnaire study, virtual prototyping, and digital human modeling and simulation, were used. Using the pedal-operated CNSR resulted in high-risk postures of MSDs. Based on these preliminary findings, a simple, improved, and adjustable hand-operated CNSR was designed and evaluated ergonomically. It was found that newly designed CNSR improved postures noticeably and provided comfort for workers.
{"title":"Ergonomic design and simulation-based evaluation of a new cashew nut sheller","authors":"Krishna Chaitanya Mallampalli, Debayan Dhar, Swati Pal","doi":"10.1080/21681015.2022.2059792","DOIUrl":"https://doi.org/10.1080/21681015.2022.2059792","url":null,"abstract":"ABSTRACT In India, the cashew nut shelling (CNS) is an important task in all small-scale cashew nut processing industries. Workers engaged in CNS task commonly operate pedal-operated cashew nut sheller (CNSR) in awkward standing posture that can contribute to work-related musculoskeletal disorders (MSDs). However, investigations from an ergonomics perspective have barely been conducted in Indian small-scale cashew nut processing industries. Therefore, the present study aims to evaluate the postural workload in CNS task to propose an ergonomic design intervention in small-scale cashew nut processing industries. A combination of methods, including posture recording, postural assessment, interviews, questionnaire study, virtual prototyping, and digital human modeling and simulation, were used. Using the pedal-operated CNSR resulted in high-risk postures of MSDs. Based on these preliminary findings, a simple, improved, and adjustable hand-operated CNSR was designed and evaluated ergonomically. It was found that newly designed CNSR improved postures noticeably and provided comfort for workers.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"39 1","pages":"629 - 643"},"PeriodicalIF":4.5,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42527960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-28DOI: 10.1080/21681015.2022.2052195
Anh H. G. Nguyen, Gwo-Ji Sheen, Yingchieh Yeh
ABSTRACT This study addresses the scheduling problem of two identical parallel machines with the objective of minimizing the total completion time under the machine availability constraints. To the best of our knowledge, this study is the first to develop a fully polynomial-time approximation scheme (FPTAS), a solution method which has been neglected in past studies, to solve the studied problem. The FPTAS, which is based on a dynamic programming algorithm is developed by applying a trimming-the-state-space approach. Theoretical proofs of the error bound and the time complexity for the proposed FPTAS are also provided. The computational results indicate that the proposed FPTAS performs more efficiently than a dynamic programming algorithm in terms of both run time and problem size. The error bound of the FPTAS is demonstrated to be within the pre-specified error bound.
{"title":"An approximation algorithm for the two identical parallel machine problem under machine availability constraints","authors":"Anh H. G. Nguyen, Gwo-Ji Sheen, Yingchieh Yeh","doi":"10.1080/21681015.2022.2052195","DOIUrl":"https://doi.org/10.1080/21681015.2022.2052195","url":null,"abstract":"ABSTRACT This study addresses the scheduling problem of two identical parallel machines with the objective of minimizing the total completion time under the machine availability constraints. To the best of our knowledge, this study is the first to develop a fully polynomial-time approximation scheme (FPTAS), a solution method which has been neglected in past studies, to solve the studied problem. The FPTAS, which is based on a dynamic programming algorithm is developed by applying a trimming-the-state-space approach. Theoretical proofs of the error bound and the time complexity for the proposed FPTAS are also provided. The computational results indicate that the proposed FPTAS performs more efficiently than a dynamic programming algorithm in terms of both run time and problem size. The error bound of the FPTAS is demonstrated to be within the pre-specified error bound.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"40 1","pages":"54 - 67"},"PeriodicalIF":4.5,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44624242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-20DOI: 10.1080/21681015.2022.2046193
R. Maihami, Iman Ghalehkhondabi
ABSTRACT This study examines the pricing and environmental investment problem for a medical waste supply chain, including waste generators, contractors, and disposal facilities. Unlike prior studies, different game structures are considered to study the interaction between supply chain players. The models are formulated using nonlinear optimization. To maximize supply chain players’ total profit, an analytical and closed-form approach is applied to determine the best service price and environmental investment. The numerical illustration confirms that investment in environmental factors increases the total profit of supply chain partners and an optimal extent exists. Medical waste generators are also willing to pay more to firms that incorporate environmental aspects into their disposal operations. Furthermore, according to the sensitivity analysis, the decision-making power of the contractor has no significant impact on its profitability. Graphical abstract
{"title":"Pricing problem in a medical waste supply chain under environmental investment: a game theory approach","authors":"R. Maihami, Iman Ghalehkhondabi","doi":"10.1080/21681015.2022.2046193","DOIUrl":"https://doi.org/10.1080/21681015.2022.2046193","url":null,"abstract":"ABSTRACT This study examines the pricing and environmental investment problem for a medical waste supply chain, including waste generators, contractors, and disposal facilities. Unlike prior studies, different game structures are considered to study the interaction between supply chain players. The models are formulated using nonlinear optimization. To maximize supply chain players’ total profit, an analytical and closed-form approach is applied to determine the best service price and environmental investment. The numerical illustration confirms that investment in environmental factors increases the total profit of supply chain partners and an optimal extent exists. Medical waste generators are also willing to pay more to firms that incorporate environmental aspects into their disposal operations. Furthermore, according to the sensitivity analysis, the decision-making power of the contractor has no significant impact on its profitability. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"39 1","pages":"597 - 613"},"PeriodicalIF":4.5,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43293429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-15DOI: 10.1080/21681015.2022.2040622
M. Tseng, Hien Minh Ha, Thi Phuong Thuy Tran, Tat-Dat Bui, M. Lim, C. Lin, Mohd Helmi Ali
ABSTRACT This study contributes a data-driven of sustainable food supply chain with the comparison between Halal and non-Halal food, and suggestion for future studies and practical fulfillments. Although food supply chain is urged to become sustainable, there is a lack of a systematic data-driven describing the most appropriate indicators to advance both Halal and non-Halal sustainable food supply chain. With an aim of analyzing up-to-date sustainable food supply chain, a combination of content analysis, fuzzy Delphi method, fuzzy decision-making trial and evaluation laboratory is presented. The results show that the most significant indicators for non-Halal sustainable food supply chain are food consumption, food safety, food security, resilience, food waste management. The most crucial indicators of Halal sustainable food supply chain consist of Halal certification, Halal supply chain trust, Islamic values, Halal food safety. A contemporary sustainable food supply chain is presented and future trends, challenges, and opportunities are determined.
{"title":"Data-driven on sustainable food supply chain: a comparison on Halal and non-Halal food system","authors":"M. Tseng, Hien Minh Ha, Thi Phuong Thuy Tran, Tat-Dat Bui, M. Lim, C. Lin, Mohd Helmi Ali","doi":"10.1080/21681015.2022.2040622","DOIUrl":"https://doi.org/10.1080/21681015.2022.2040622","url":null,"abstract":"ABSTRACT This study contributes a data-driven of sustainable food supply chain with the comparison between Halal and non-Halal food, and suggestion for future studies and practical fulfillments. Although food supply chain is urged to become sustainable, there is a lack of a systematic data-driven describing the most appropriate indicators to advance both Halal and non-Halal sustainable food supply chain. With an aim of analyzing up-to-date sustainable food supply chain, a combination of content analysis, fuzzy Delphi method, fuzzy decision-making trial and evaluation laboratory is presented. The results show that the most significant indicators for non-Halal sustainable food supply chain are food consumption, food safety, food security, resilience, food waste management. The most crucial indicators of Halal sustainable food supply chain consist of Halal certification, Halal supply chain trust, Islamic values, Halal food safety. A contemporary sustainable food supply chain is presented and future trends, challenges, and opportunities are determined.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"39 1","pages":"430 - 457"},"PeriodicalIF":4.5,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42374646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-13DOI: 10.1080/21681015.2022.2037761
Mohammad Tavassoli, R. Farzipoor Saen
ABSTRACT One of the common methods for classifying inventory items is ABC classification approach. In many cases, the data might be stochastic. In the current study, using stochastic data envelopment analysis model, we present a new approach to categorize inventory items given stochastic data and nature of criteria. Then, a new stochastic mixed integer programming model is proposed to forecast classes of the new inventory items. The proposed stochastic mixed integer programming model does not impose subjective judgment on the classification of inventory items and can be used for multi-group classification. The developed approach can classify inventory items and forecast the class of new items with both qualitative and quantitative criteria. The applicability of developed stochastic data envelopment analysis and stochastic mixed integer programming models is demonstrated by a case study.
{"title":"A stochastic data envelopment analysis approach for multi-criteria ABC inventory classification","authors":"Mohammad Tavassoli, R. Farzipoor Saen","doi":"10.1080/21681015.2022.2037761","DOIUrl":"https://doi.org/10.1080/21681015.2022.2037761","url":null,"abstract":"ABSTRACT One of the common methods for classifying inventory items is ABC classification approach. In many cases, the data might be stochastic. In the current study, using stochastic data envelopment analysis model, we present a new approach to categorize inventory items given stochastic data and nature of criteria. Then, a new stochastic mixed integer programming model is proposed to forecast classes of the new inventory items. The proposed stochastic mixed integer programming model does not impose subjective judgment on the classification of inventory items and can be used for multi-group classification. The developed approach can classify inventory items and forecast the class of new items with both qualitative and quantitative criteria. The applicability of developed stochastic data envelopment analysis and stochastic mixed integer programming models is demonstrated by a case study.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"39 1","pages":"415 - 429"},"PeriodicalIF":4.5,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45745923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-10DOI: 10.1080/21681015.2022.2041741
S. Finco, D. Battini, Giuseppe Converso, T. Murino
ABSTRACT Managers often need to face the problem to define the inventory level of items having an irregular demand. Difficulties arise when the existing methods cannot be applied due to some hypotheses, leading to wrong inventory levels, and , higher holding costs . In this paper, a methodological framework, based on the Zero-Inflated Poisson regression, and called Spare Part Oriented ZIP Approach (SPOZA) is developed. It aims to simplify the inventory-level evaluation procedure when items have an irregular demand pattern The SPOZA output is the evaluation of the optimal theoretical protection level to fulfil to reduce inventory total costs as a percentage value. Aiming to evaluate the benefits of applying SPOZA, a real-case application is presented. Several scenarios are analyzed, and comparisons with standard forecasting methods are conducted. Results are very promising since SPOZA leads to an inventory costs reduction and performs better than other approaches, especially when the items demand increases. Graphical Abstract
{"title":"Applying the zero-inflated Poisson regression in the inventory management of irregular demand items","authors":"S. Finco, D. Battini, Giuseppe Converso, T. Murino","doi":"10.1080/21681015.2022.2041741","DOIUrl":"https://doi.org/10.1080/21681015.2022.2041741","url":null,"abstract":"ABSTRACT Managers often need to face the problem to define the inventory level of items having an irregular demand. Difficulties arise when the existing methods cannot be applied due to some hypotheses, leading to wrong inventory levels, and , higher holding costs . In this paper, a methodological framework, based on the Zero-Inflated Poisson regression, and called Spare Part Oriented ZIP Approach (SPOZA) is developed. It aims to simplify the inventory-level evaluation procedure when items have an irregular demand pattern The SPOZA output is the evaluation of the optimal theoretical protection level to fulfil to reduce inventory total costs as a percentage value. Aiming to evaluate the benefits of applying SPOZA, a real-case application is presented. Several scenarios are analyzed, and comparisons with standard forecasting methods are conducted. Results are very promising since SPOZA leads to an inventory costs reduction and performs better than other approaches, especially when the items demand increases. Graphical Abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"39 1","pages":"458 - 478"},"PeriodicalIF":4.5,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42827199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-27DOI: 10.1080/21681015.2022.2041742
Ali Jaber Naeemah, K. Wong
ABSTRACT The purpose of this study was to explore the positive effects of lean manufacturing (LM) tools on sustainability aspects and to address the gap in studies that have examined the impacts of LM tools on sustainability. A systematic literature review (SLR) approach was used, which provides an evidence-based scientific method of searching and analyzing the literature. The study covered 101 relevant articles from 2010 to 2021. The study identified 36 LM tools impacting manufacturing sustainability and recognized the top 10 tools, such as six sigma and kaizen. Twenty sustainability metrics were also identified, such as eight wastes and air emissions. The greatest impact of LM tools was on the economic aspect, such as reducing costs. There is still a need to discover how LM tools can negatively affect sustainability. The findings will open up new avenues for researchers and manufacturers to support the effects of LM tools on sustainability.
{"title":"Positive impacts of lean manufacturing tools on sustainability aspects: a systematic review","authors":"Ali Jaber Naeemah, K. Wong","doi":"10.1080/21681015.2022.2041742","DOIUrl":"https://doi.org/10.1080/21681015.2022.2041742","url":null,"abstract":"ABSTRACT The purpose of this study was to explore the positive effects of lean manufacturing (LM) tools on sustainability aspects and to address the gap in studies that have examined the impacts of LM tools on sustainability. A systematic literature review (SLR) approach was used, which provides an evidence-based scientific method of searching and analyzing the literature. The study covered 101 relevant articles from 2010 to 2021. The study identified 36 LM tools impacting manufacturing sustainability and recognized the top 10 tools, such as six sigma and kaizen. Twenty sustainability metrics were also identified, such as eight wastes and air emissions. The greatest impact of LM tools was on the economic aspect, such as reducing costs. There is still a need to discover how LM tools can negatively affect sustainability. The findings will open up new avenues for researchers and manufacturers to support the effects of LM tools on sustainability.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":"39 1","pages":"552 - 571"},"PeriodicalIF":4.5,"publicationDate":"2022-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43580600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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